News:

• Paper accepted in IEEE TC:  "MMDataLoader: Reusing Preprocessed Data among Concurrent Model Training Tasks"

• Paper accepted in EMNLP Findings 2023:  "SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning"

• Paper accepted in IEEE TC:  "Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training"

• Two papers accepted in IJCAI 2023:"Scalable Optimal Margin Distribution Machine", "Incremental and Decremental Optimal Margin Distribution Learning"

• Paper accepted in IEEE TPDS:  "TurboMGNN: Improving concurrent GNN training tasks on GPU with fine-grained kernel fusion".

• Paper accepted in SIGMOD 23:  "Data Stream Clustering: An In-depth Empirical Study".

• Paper accepted in IEEE TC:  "TurboGNN: Improving the End-to-end Performance for Sampling-based GNN Training on GPUs".

• Paper accepted in ASPLOS 2023: "GZKP:A GPU Accelerated Zero-Knowledge Proof System".

• Won the first prize of CCF Natural Science Awards, 2022 : "Basic Theory and Approaches for High-Performance Big Data Processing".

• Paper accepted in IEEE TBD: "Parallel Overlapping Community Detection Algorithm on GPU".

• Paper accepted in IEEE TPDS:  "LoomIO: Object-Level Coordination in Distributed File Systems".

• Paper accepted in SoCC 2020: "ByteSeries : An In-Memory Time Series Database for Large-Scale Monitoring Systems".

• Paper accepted in ACM TKDD: "Multi-Stage Network Embedding for Exploring Heterogeneous Edges".

• Paper accepted in IEEE TPDS:  "Feluca: A Two-Stage Graph Coloring Algorithm with Color-centric Paradigm on GPU".

• Paper accepted in IEEE TC:  "TurboDL: Improving CNN Training on GPU with Fine-grained Multi-streaming Scheduling".

• Paper accepted in ACM TACO : "Optimizing the SSD Burst Buffer by Traffic Detection".

• Paper accepted in ICDE 2020 : "Maxson: Reduce duplicate Parsing Overhead on Raw Data".

• Paper accepted in ASPLOS 2020 :  "Capuchin: Tensor-based GPU Memory Management for Deep Learning".

• Paper accepted in ACM TOCS :  "Deca: a Garbage Collection Optimizer for In-memory Data Processing".

Research Interests:

• General research interests: parallel and distributed systems.

• Currently: big data processing and cloud computing

Opening Positions

1. My Lab: I am currently recruiting self-motivated and dedicated PostDoc and Ph.D/M.S. students with solid background in systems, mathematics, etc.. If you are interested, come and talk to me, or drop me a message.

2. School of Computer Science and Technology: We are hiring faculty members in all areas of CS at all levels! You can contact me for details.